The SoDA report on Trends in Personalization

January 15, 2019

Delivering personalization to consumers at scale requires a combination of the right data and the right technology. Authors from Perficient Digital, Dept, Microsoft, Deepend and others speak to the rise in demand for these experiences, the successes (and candid challenges) that agencies are facing to remain ahead of the curve, the way in which they’re working with clients to deliver timely and innovative results, and the tools required in order to do so.

Spotlight

CloudPhysics inc

CloudPhysics is the first to combine the Big Data analytics with unique patent-pending datacenter simulation and resource management techniques. This technology innovation enables data-driven decisions for IT teams in ways never before possible by uncovering hidden complexities in the infrastructure, discovering inefficiencies and risks that drain and endanger resources, and enabling "what if" analyses that inform every datacenter decision. Using the Collective Intelligence from its global dataset, CloudPhysics understands how specific technologies and configurations will behave, based on learnings from across numerous datacenters of all shapes and sizes. The company, based in Mountain View, California, is founded and staffed by engineering and product leaders from VMware, Google and Cadence, and backed by Kleiner Perkins Caufield & Byers and the Mayfield Fund.

OTHER WHITEPAPERS
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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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New Technology: The Projected Total Economic Impact™ Of IBM Cloud Pak For Data

whitePaper | May 24, 2022

Forrester Consulting provides independent and objective research-based consulting to help leaders succeed in their organizations. Ranging in scope from a short strategy session to custom projects, Forrester’s Consulting services connect you directly with research analysts who apply expert insight to your specific business challenges.

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Hybrid Cloud and Data Analytics for Financial Services: Maturing the Model

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

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The Lock and Key of Data Literacy and Data Governance

whitePaper | November 24, 2022

Without a data-literate team, your company doesn’t have a chance of becoming data-driven. “Speaking data” is one of the biggest skills in the coming years as more technical skills (think SQL or R programming) become embedded in the tools themselves, demonstrating what we’ve always known — that tools will only take you so far. Your real resource is people.

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Spotlight

CloudPhysics inc

CloudPhysics is the first to combine the Big Data analytics with unique patent-pending datacenter simulation and resource management techniques. This technology innovation enables data-driven decisions for IT teams in ways never before possible by uncovering hidden complexities in the infrastructure, discovering inefficiencies and risks that drain and endanger resources, and enabling "what if" analyses that inform every datacenter decision. Using the Collective Intelligence from its global dataset, CloudPhysics understands how specific technologies and configurations will behave, based on learnings from across numerous datacenters of all shapes and sizes. The company, based in Mountain View, California, is founded and staffed by engineering and product leaders from VMware, Google and Cadence, and backed by Kleiner Perkins Caufield & Byers and the Mayfield Fund.

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